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SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images.
(FRONTIERS MEDIA SA, 2021-01-20)
High computational cost associated with digital pathology image analysis approaches is a challenge towards their translation in routine pathology clinic. Here, we propose a computationally efficient framework (SuperHistopath), ...
Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning-based Denoising Image Filters.
(RADIOLOGICAL SOC NORTH AMERICA (RSNA), 2021-09-01)
PURPOSE: To use deep learning to improve the image quality of subsampled images (number of acquisitions = 1 [NOA1]) to reduce whole-body diffusion-weighted MRI (WBDWI) acquisition times. MATERIALS AND METHODS: Both ...